Organization
The core organizing committee of MMFood’25 is composed of the following international scientists and interdisciplinary food computing researchers.
Patron
Ramesh Jain,
Institute for Future Health,
UC Irvine
(USA)
About
Prof. Ramesh Jain is the Director of UCI Institute for Future Health and is the Donald Bren Professor at University of California. He is a visionary technologist and entrepreneur at the forefront of digital health innovation. With a distinguished career spanning five decades, Ramesh has made groundbreaking contributions to Computer Vision, Artificial Intelligence, Multimedia Computing, and Experiential Computing.
Highlights of Ramesh’s pioneering work include:
● Founding director of the AI Lab at the University of Michigan in 1987
● Founding director of the UCI Institute for Future Health
● Leading the development of the Personal Health Navigator, now being standardized globally by ISO
General Chairs
Stavroula-Georgia Mougiakakou,
University of Bern
(Switzerland)
About
Prof. Stavroula-Georgia Mougiakakou is an Associate Professor with a Ph.D. in Electrical and Computer Engineering from the National Technical University of Athens, Greece. Since 2008, she has been with the Faculty of Medicine at the University of Bern, leading the AI in Health and Nutrition Laboratory at the ARTORG Center for Biomedical Engineering Research. Her research focuses on developing and clinically validating AI and machine learning approaches for analysing multimodal health data. Her work supports prevention, personalized diagnosis, prognosis, and treatment of acute and chronic diseases, including obesity, diabetes, and lung diseases. She has also advanced AI-driven pipelines for translating food data into nutrient content to improve personalized dietary assessment. She serves as the main organizer of the International Workshop on Multimedia Assisted Dietary Management (MADiMa). Stavroula is a member of the Executive Team of the Center for Artificial Intelligence in Medicine (CAIM) and Co-Director of the MSc program in AI in Medicine at the University of Bern. She is an Honorary Associate Professor at the University of Nicosia, Cyprus. She has supervised over 19 PhD students, 8 postdoctoral researchers, and several MS students. Her lab’s work has led to numerous publications, patents, and successful technology transfers, with participation in high-profile research projects at national, European, and international levels.
Shuqiang Jiang,
University of Chinese Academy of Sciences
(China)
About
Prof. Shuqiang Jiang is a professor with the Institute of Computing Technology (ICT), Chinese Academy of Sciences (CAS) and a professor at the University of CAS. He is also with the Key Laboratory of Intelligent Information Processing, CAS. His research interests include multimedia analysis and multimodal intelligence. He leads the food computing research group in ICT, CAS. He has authored or coauthored more than 200 papers on the related research topics. He was supported by the National Science Fund for Distinguished Young Scholars in 2021. He won the CAS International Cooperation Award for Young Scientists, the CCF Award of Science and Technology, Wu Wenjun Natural Science Award for Artificial Intelligence, CSIG Natural Science Award, and Beijing Science and Technology Progress Award. He is the Associate Editor of ACM ToMM, IEEE TMM, vice Chair of IEEE CASS Beijing Chapter, vice Chair of ACM SIGMM China chapter. He has served as an organization member of more than 20 academic conferences, including the general chair of ICIMCS 2015, program chair of ICIMCS2010, PCM2017, ACM Multimedia Asia2019.
Partha Pratim Das,
Ashoka University
(India)
About
Prof. Partha Pratim Das is a Professor at the Department of Computer Science and the Founding Director of the Center of Data Science and Analytics at Ashoka University. He has over 24 years’ experience in teaching and research at IIT Kharagpur, and about 13 years’ experience in Software Industry. He has worked extensively in Digital Geometry, Smart Software Engineering, and Digital Heritage for academic research; and EDA frontend automation and T & M tools in video technology as industrial products. His current interests are Food, Nutrition and Digital Health.
In Ashoka, Partha anchors the project on “Multimodal Food Computing” in collaboration with Trivedi School of Biosciences at Ashoka and Institute of FutureHealth @ UCI. With the team he has been developing food ontology and knowledge graphs for Indian food and has published in the JOWO Workshop at IFOW 2024 and in the NLP4DH 2024. Recently, Partha has delivered an invited lecture at MaDiMA 2024 at ICPR 2024 on Intelligent Food Systems and also took part in the Multimodal AI Agents RoundTable at ACM MM 2024 as an invitee. He is a member of SIGMM.
Partha has guided over a dozen doctoral theses and has published over 100 technical papers.
Program Committee Chairs
Weiqing Min,
University of Chinese Academy of Sciences
(China)
About
Prof. Weiqing Min Jiang is an associate professor at the Key Laboratory of Intelligent Information Processing (IIP), Institute of Computing Technology (ICT), Chinese Academy of Sciences (CAS). He received the Ph.D. degree from the National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences under the supervision of Prof. Changsheng Xu. His research is in the areas of multimedia content analysis and AI for food science. Dr. Min has authored and co-authored more than 70 peer-referenced papers in relevant journals and conferences, including IEEE Trans. on Pattern Analysis and Machine Intelligence, Patterns(Cell Press), ACM Computing Surveys, Trends in Food Science & Technology, IEEE Trans. on Image Processing, Food Chemistry, ACM MM, AAAI, IJCAI, etc. He has served as the Associate Editor of IEEE TMM and ACM MM2021/ICME 2022-2025 Area Chair. He is also the reviewer of many prestigious international journals including Nature Food, Patterns (Cell Press), Advanced Science, IEEE TIP/TMM, etc. He is a distinguished member of CCF, and senior member of IEEE, CSIG and Chinese Institute of Food Science and Technology. He is the recipient of 2024 Beijing Outstanding Youth Fund, 2023 CSIG Young Scientists Award, Second Prize of 2020 Beijing Science and Technology Progress Award, 2020 ACM CHINA SIGMM RISING STAR AWARD. He is also the recipient of 2016 ACM TOMM Nicolas D. Georganas Best Paper Award and 2017 IEEE Multimedia Magazine Best Paper Award.
Marianna Obrist,
University College London
(UK)
About
Prof. Marianna Obrist is a Professor of Multisensory Interfaces at UCL and Deputy Director of Digital Health at the UCL Institute of Healthcare Engineering. Her pioneering research integrates touch, taste, and smell in human-computer interaction, with applications ranging from VR to healthcare. She co-founded and Chief Scientific Officer of OWidgets LtD (OW Smell Made Digital), a university spin-out developing innovative digital scent technology. Her recent projects include the EPSRC/NIHR Smell Care project, which extends previous ERC PoC award research into digital smell training solutions. Additionally, she contributes to the EU FET Touchless.AI project on novel touchless interfaces for social interaction and the UKRI TCC - Textile Circularity Centre, led by RCA, on immersive multisensory textile experiences. Marianna has published over 100 articles in high-impact journals and premier HCI conferences. An overview of her work is featured in the popular science book Multisensory Experiences - Where the Senses Meet Technology by Oxford University Press.
Lipika Dey,
Ashoka University
(India)
About
Prof. Lipika Dey is a Professor of Computer Science at Ashoka University. Prior to joining Ashoka, she was a Chief Scientist at Tata Consultancy Services (TCS), Research, where she was heading research in the themes of Economic and Financial Intelligence and Real Time Context Aware Enterprises. Her research interests are in the areas of Artificial Intelligence, Natural Language Processing and Multi-modal Data Analytics. She has keen interest in the fields of healthcare and sustainability analytics. Her focus has been on building systems that can seamlessly integrate heterogeneous information from a diverse set of sources to extract predictive and prescriptive insights. She has several patents and publications to her credit. Lipika was earlier a member of faculty at the Department of Mathematics, Indian Institute of Technology, Delhi. Lipika has been elected to the Fellowship of Indian National Academy of Engineering in 2021.
She was also awarded the Distinguished Scientist award by TCS in 2012. She has served as Program Committee member for several conferences like AAAI, KDD etc. Lipika has a PhD in Computer Science and Engineering from IIT Kharagpur, where she had also done her graduation and post-graduation in Mathematics and Computer Science. Lipika has been an active member of Association for Computing Machinery (ACM) for more than a decade. Beside serving the committee for ACM(W) in India, she also mentors young researchers and faculty in the area of Computer Science, under the aegis of ACM India. She is currently serving as an Eminent Speaker.
Publicity Chairs
Yoko Yamakata,
University of Tokyo
(Japan)
About
Prof. Yoko Yamakata received a Ph.D. in Informatics from Kyoto University in 2007. From 2010 to 2016, she served as a Lecturer and later an Associate Professor at Kyoto University. In 2015, she became a JSPS Research Fellow and spent time as a Visiting Researcher at the University of Sussex in the UK, accompanied by two children. In 2019, she joined the University of Tokyo as an Associate Professor in the Graduate School of Information Science and Technology, and in 2024, became a Professor at the Information Technology Center of the University of Tokyo. Her research interests focus on multimedia information processing.
Dr. Maija Kāle,
Baltic International Centre for Economic Policy Studies
(Latvia)
About
Dr. Maija KāleMaija Kāle is a Research Fellow at BICEPS. She holds a Ph.D. from the Faculty of Computer Science (now Faculty of Science and Technology) at the University of Latvia, where her research in ‘food computing’ focuses on reducing inefficiencies in the food sector and promoting healthier diets and more resilient food systems globally. Her research is interdisciplinary, integrating cognitive and social sciences, focusing on food systems, climate change, bioeconomy and circular economy, and increasingly on how traditional knowledge or intelligence intersects with new artificial intelligence(s) to shape the future(s) of food systems and other complex systems. Since 2007, Maija has worked with sustainability and digitalisation issues in various leadership and expert roles. Since 2016, Maija has worked as an Adviser at the Nordic Council of Ministers Office in Latvia and is also a member of Nordic Innovation’s Nordic Task Force for Diversity.
Publication Chairs
Dr. Ioannis Papathanail,
University of Bern
(Switzerland)
About
Dr. Ioannis Papathanail is a postdoctoral researcher at the ARTORG Center for Biomedical Engineering Research, at the University of Bern, Switzerland, focusing on AI in health and nutrition. He holds a PhD in Biomedical Engineering from the University of Bern, with a dissertation titled ‘Machine learning-based dietary assessment’. He earned his Bachelor and Integrated Master’s degree from the Aristotle University in Thessaloniki, Greece, with a thesis titled ‘Techniques for Audio-Visual Diarization and Segmentation of Speakers’. He has been involved in various research projects, including Medipiatto and MELISSA, which focus on AI-driven health solutions. Medipiatto promotes the Mediterranean diet through meal image analysis and personalized dietary suggestions, while MELISSA focuses on AI systems for diabetes care, including meal carbohydrate estimation and personalized insulin adjustments. Additionally, he has helped organize the International Workshop on Multimedia Assisted Dietary Management. He has also served as a lecturer at the University of Bern, for the food/non-food image classification lab, and as a teaching assistant working on data-driven diabetes management. His current scientific interests include machine learning, computer vision, and mHealth.
Saransh Kumar Gupta,
Ashoka University
(India)
About
Saransh Gupta is a senior research engineer in the ‘Multimodal Food Computing’ group at Mphasis AI & Applied Tech Lab at Ashoka University. He studied Computer Science and Finance at BITS Pilani and worked as a software engineer at Symantec Corporation for 2.5 years in the STAR (Security Technology and Response) team where his responsibilities included software R&D, optimizing the algorithmic flows, mitigating risks, and improving the efficacy of functional security products. His newfound research interests at the intersection of language, cognition, computation and society led him to pursue the Young India Fellowship and complete an interdisciplinary masters in Computer Science and Psychology, both at Ashoka University. His current work pertains to multimodal AI, system design, data mining, large-language models, natural language processing, and ontology design for building a knowledge graph for Indian food.
Program Committee
We gratefully acknowledge the contributions of the following individuals for their valuable support in reviewing submissions and contributing to the success of the MMFood’25 workshop program.
Lipika Dey,
Ashoka University
(India)
About
Prof. Lipika Dey is a Professor of Computer Science at Ashoka University. Prior to joining Ashoka, she was a Chief Scientist at Tata Consultancy Services (TCS), Research, where she was heading research in the themes of Economic and Financial Intelligence and Real Time Context Aware Enterprises. Her research interests are in the areas of Artificial Intelligence, Natural Language Processing and Multi-modal Data Analytics. She has keen interest in the fields of healthcare and sustainability analytics. Her focus has been on building systems that can seamlessly integrate heterogeneous information from a diverse set of sources to extract predictive and prescriptive insights. She has several patents and publications to her credit. Lipika was earlier a member of faculty at the Department of Mathematics, Indian Institute of Technology, Delhi. Lipika has been elected to the Fellowship of Indian National Academy of Engineering in 2021.
She was also awarded the Distinguished Scientist award by TCS in 2012. She has served as Program Committee member for several conferences like AAAI, KDD etc. Lipika has a PhD in Computer Science and Engineering from IIT Kharagpur, where she had also done her graduation and post-graduation in Mathematics and Computer Science. Lipika has been an active member of Association for Computing Machinery (ACM) for more than a decade. Beside serving the committee for ACM(W) in India, she also mentors young researchers and faculty in the area of Computer Science, under the aegis of ACM India. She is currently serving as an Eminent Speaker.
Marianna Obrist,
University College London
(UK)
About
Prof. Marianna Obrist is a Professor of Multisensory Interfaces at UCL and Deputy Director of Digital Health at the UCL Institute of Healthcare Engineering. Her pioneering research integrates touch, taste, and smell in human-computer interaction, with applications ranging from VR to healthcare. She co-founded and Chief Scientific Officer of OWidgets LtD (OW Smell Made Digital), a university spin-out developing innovative digital scent technology. Her recent projects include the EPSRC/NIHR Smell Care project, which extends previous ERC PoC award research into digital smell training solutions. Additionally, she contributes to the EU FET Touchless.AI project on novel touchless interfaces for social interaction and the UKRI TCC - Textile Circularity Centre, led by RCA, on immersive multisensory textile experiences. Marianna has published over 100 articles in high-impact journals and premier HCI conferences. An overview of her work is featured in the popular science book Multisensory Experiences - Where the Senses Meet Technology by Oxford University Press.
Partha Pratim Das,
Ashoka University
(India)
About
Prof. Partha Pratim Das is a Professor at the Department of Computer Science and the Founding Director of the Center of Data Science and Analytics at Ashoka University. He has over 24 years’ experience in teaching and research at IIT Kharagpur, and about 13 years’ experience in Software Industry. He has worked extensively in Digital Geometry, Smart Software Engineering, and Digital Heritage for academic research; and EDA frontend automation and T & M tools in video technology as industrial products. His current interests are Food, Nutrition and Digital Health.
In Ashoka, Partha anchors the project on “Multimodal Food Computing” in collaboration with Trivedi School of Biosciences at Ashoka and Institute of FutureHealth @ UCI. With the team he has been developing food ontology and knowledge graphs for Indian food and has published in the JOWO Workshop at IFOW 2024 and in the NLP4DH 2024. Recently, Partha has delivered an invited lecture at MaDiMA 2024 at ICPR 2024 on Intelligent Food Systems and also took part in the Multimodal AI Agents RoundTable at ACM MM 2024 as an invitee. He is a member of SIGMM.
Partha has guided over a dozen doctoral theses and has published over 100 technical papers.
Stavroula-Georgia Mougiakakou,
University of Bern
(Switzerland)
About
Prof. Stavroula-Georgia Mougiakakou is an Associate Professor with a Ph.D. in Electrical and Computer Engineering from the National Technical University of Athens, Greece. Since 2008, she has been with the Faculty of Medicine at the University of Bern, leading the AI in Health and Nutrition Laboratory at the ARTORG Center for Biomedical Engineering Research. Her research focuses on developing and clinically validating AI and machine learning approaches for analysing multimodal health data. Her work supports prevention, personalized diagnosis, prognosis, and treatment of acute and chronic diseases, including obesity, diabetes, and lung diseases. She has also advanced AI-driven pipelines for translating food data into nutrient content to improve personalized dietary assessment. She serves as the main organizer of the International Workshop on Multimedia Assisted Dietary Management (MADiMa). Stavroula is a member of the Executive Team of the Center for Artificial Intelligence in Medicine (CAIM) and Co-Director of the MSc program in AI in Medicine at the University of Bern. She is an Honorary Associate Professor at the University of Nicosia, Cyprus. She has supervised over 19 PhD students, 8 postdoctoral researchers, and several MS students. Her lab’s work has led to numerous publications, patents, and successful technology transfers, with participation in high-profile research projects at national, European, and international levels.
